Download or read book The Use of Influence Functions for Outlier Detection and Data Editing written by M. R. Chernick and published by . This book was released on 1982 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hampel's influence function (J. Amer. Statist. Assoc. 69, pp. 383-393) has been used in recent years for evaluating robust estimators, detecting outliers, computing asymptotic variances for estimators, and for hypothesis testing. In this report, the use of influence functions for various parameters is proposed, not only as a tool for outlier detection, but also as a method for replacing outliers and/or missing observations. This approach is illustrated on the estimation for the variance of a distribution and it is pointed out how the method can be applied in simple linear regression problems. This approach can be extended to more complex regression type applications such as the estimation of the orbit parameters of a satellite.
Download or read book Statistical Methods and the Improvement of Data Quality written by Tommy Wright and published by Academic Press. This book was released on 2014-05-10 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods and the Improvement of Data Quality contains the proceedings of The Small Conference on the Improvement of the Quality of Data Collected by Data Collection Systems, held on November 11-12, 1982, in Oak Ridge, Tennessee. The conference provided a forum for discussing the use of statistical methods to improve data quality, with emphasis on the problems of data collection systems and how to handle them using state-of-the-art techniques. Comprised of 16 chapters, this volume begins with an overview of some of the limitations of surveys, followed by an annotated bibliography on frames from which the probability sample is selected. The reader is then introduced to sample designs and methods for collecting data over space and time; response effects to behavior and attitude questions; and how to develop and use error profiles. Subsequent chapters focus on principles and methods for handling outliers in data sets; influence functions, outlier detection, and data editing; and application of pattern recognition techniques to data analysis. The use of exploratory data analysis as an aid in modeling and statistical forecasting is also described. This monograph is likely to be of primary benefit to students taking a general course in survey sampling techniques, and to individuals and groups who deal with large data collection systems and are constantly seeking ways to improve the overall quality of their data.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1983 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Download or read book Influence Function and Its Application to Data Validation written by and published by . This book was released on 1979 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hampel's influence function has been used by Devlin, Gnanadesikan, and Kettenring to detect bivariate observations which have unusual influence on estimates of correlation. In the validation of energy data systems such observations may sometimes be considered to be outliers. The identification of such outliers may be valuable for the detection of errors in a data base. When data are used in regression equations, those observations which have the greatest effect on the multiple correlation coefficient or the regression coefficients are of interest. The contours of constant influence are derived for the multiple correlation coefficient in the case of regressing two variables on a third. In some problems the analytic form of the influence function may be difficult to derive. In such cases the empiric estimator of the influence function, as proposed by Mallows, may be useful for detecting outliers. For FPC form 4 power plant data, the correlation between generation and consumption is a parameter of interest to users of the data. Estimates of the contours of constant influence were determined and used to detect outliers with respect to bivariate correlation.
Download or read book Statistical Data Editing written by United Nations. Statistical Commission and published by New York and Geneva : United Nations. This book was released on 1994 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data editing methods and techniques may significantly influence the quality of statistical data as well as the cost efficiency of statistical production. Volume 2 is the logical continuation of the first part of the series, which defined statistical data editing and presented associated methods and software. The aim of these publications is to assist National Statistical Offices in their efforts to improve and economize their data editing processes.
Download or read book Technical Abstract Bulletin written by and published by . This book was released on 1982 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistics for Spatial Data written by Noel Cressie and published by John Wiley & Sons. This book was released on 2015-03-18 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.
Download or read book Quality Control and Applied Statistics written by and published by . This book was released on 1984 with total page 1212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Influence Function Considerations for Principal Component Analysis written by Lindsey Kevan and published by . This book was released on 2006 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this thesis is to study Principal Component Analysis (PCA) via the influence function. PCA is often used to reduce the complexity of high dimensional datasets by finding lower order projections that explain much of the variability within the data. However, many statistical estimators such as PCA that are applied to such data can be highly influenced by just a few observations. The influence function is a useful diagnostic tool that can assist in determining influential observation types on statistical estimators. We study the influence functions with respect to individual and multiple principal components and show how these may be used to highlight the types of observations that may or may not be influential in practice. It is also common in statistical practice to study the effects of outlying observations. However, not all outliers are influential in estimation and likewise not all influential observations are outliers. We therefore give consideration to the use of sample versions of the influential functions that may be used to detect influential observations in practice as opposed to employing classical outlier detection methods.
Download or read book Automation in Mining Mineral and Metal Processing 2004 written by Dominique Sauter and published by Elsevier. This book was released on 2006-02-21 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approx. 482 pages
Download or read book Sample Surveys Design Methods and Applications written by and published by Elsevier. This book was released on 2009-08-31 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 29A deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 29B is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practice Discusses a wide variety of diverse applications Comprehensive bibliography
Download or read book Handbook of Statistical Data Editing and Imputation written by Ton de Waal and published by John Wiley & Sons. This book was released on 2011-03-22 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources involved, has motivated considerable research efforts to enhance the efficiency and effectiveness of this process. Handbook of Statistical Data Editing and Imputation equips readers with the essential statistical procedures for detecting and correcting inconsistencies and filling in missing values with estimates. The authors supply an easily accessible treatment of the existing methodology in this field, featuring an overview of common errors encountered in practice and techniques for resolving these issues. The book begins with an overview of methods and strategies for statistical data editing and imputation. Subsequent chapters provide detailed treatment of the central theoretical methods and modern applications, with topics of coverage including: Localization of errors in continuous data, with an outline of selective editing strategies, automatic editing for systematic and random errors, and other relevant state-of-the-art methods Extensions of automatic editing to categorical data and integer data The basic framework for imputation, with a breakdown of key methods and models and a comparison of imputation with the weighting approach to correct for missing values More advanced imputation methods, including imputation under edit restraints Throughout the book, the treatment of each topic is presented in a uniform fashion. Following an introduction, each chapter presents the key theories and formulas underlying the topic and then illustrates common applications. The discussion concludes with a summary of the main concepts and a real-world example that incorporates realistic data along with professional insight into common challenges and best practices. Handbook of Statistical Data Editing and Imputation is an essential reference for survey researchers working in the fields of business, economics, government, and the social sciences who gather, analyze, and draw results from data. It is also a suitable supplement for courses on survey methods at the upper-undergraduate and graduate levels.
Download or read book Testing For Normality written by Henry C. Thode and published by CRC Press. This book was released on 2002-01-25 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.
Download or read book Canonical Analysis written by R. Gittins and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Relationships between sets of variables of different kinds are of interest in many branches of science. The question of the analysis of relationships of this sort has nevertheless rather surprisingly received less attention from statisticians and others than it would seem to deserve. Of the available methods, that address ing the question most directly is canonical correlation analysis, here referred to for convenience as canonical analysis. Yet canonical analysis is often coolly received despite a lack of suitable alternatives. The purpose of this book is to clarify just what may and what may not be accomplished by means of canoni cal analysis in one field of scientific endeavor. Canonical analysis is concerned with reducing the correlation structure be tween two (or more) sets of variables to its simplest possible form. After a review of the nature and properties of canonical analysis, an assessment of the method as an exploratory tool of use in ecological investigations is made. Applications of canonical analysis to several sets of ecological data are described and discussed with this objective in mind. The examples are drawn largely from plant ecology. The position is adopted that canonical analysis exists primarily to be used; the examples are accordingly worked through in some detail with the aim of showing how canonical analysis can contribute towards the attainment of ecological goals, as well as to indicate the kind and extent of the insight afforded.
Download or read book Outliers in Statistical Data written by Vic Barnett and published by John Wiley & Sons. This book was released on 1994-05-09 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every essential area is thoroughly updated to reflect the latest state of knowledge. All the topics are fully revised and extended, and additional topics and new emphases are presented.
Download or read book Statistical Theory and Method Abstracts written by and published by . This book was released on 1984 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Referativny zhurnal written by and published by . This book was released on 1984 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:
